Anderson Schneider
12 papers · 2022–2025 · 5 conferences · across top CS/AI conferences
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Conferences
UAI (5)
ICML (4)
AISTATS (1)
ICLR (1)
IJCAI (1)
Top co-authors
Keywords
point process
(2)
continual learning
(1)
kl divergence
(1)
domain adaptation
(1)
uncertainty quantification
(1)
optimal transport
(1)
transfer learning
(1)
function space
(1)
time series
(1)
diffusion process
(1)
conditional entropy
(1)
mutual information
(1)
locality sensitive hashing
(1)
generative modeling
(1)
kullback-leibler divergence
(1)
time series forecasting
(1)
transfer entropy
(1)
stochastic process
(1)
likelihood estimation
(1)
time series analysis
(1)
Papers
Privacy Amplification by Structured Subsampling for Deep Differentially Private Time Series Forecasting
ICML 2025
$S^2$IP-LLM: Semantic Space Informed Prompt Learning with LLM for Time Series Forecasting
ICML 2024
Empowering Time Series Analysis with Large Language Models: A Survey
IJCAI 2024
VQ-TR: Vector Quantized Attention for Time Series Forecasting
ICLR 2024
Inference and sampling of point processes from diffusion excursions
UAI 2023
Modeling Temporal Data as Continuous Functions with Stochastic Process Diffusion
ICML 2023
Provably Convergent Schrödinger Bridge with Applications to Probabilistic Time Series Imputation
ICML 2023
Risk Bounds on Aleatoric Uncertainty Recovery
AISTATS 2023
Detection of Short-Term Temporal Dependencies in Hawkes Processes with Heterogeneous Background Dynamics
UAI 2023
Information theoretic clustering via divergence maximization among clusters
UAI 2023
In- or out-of-distribution detection via dual divergence estimation
UAI 2023
Estimating transfer entropy under long ranged dependencies
UAI 2022